class_docstr: A base ARIMA class
docstr: Get in-sample forecasts
docstr_tok: ["Get","in-sample","forecasts"]
code: def predict_in_sample(self, X, start, end, dynamic, **kwargs):
      """Get in-sample forecasts"""
  
file_path: pmdarima/pmdarima/base.py
imports: import abc
  from abc import ABCMeta
  from sklearn.base import BaseEstimator
label_desc: Use image node_id 4 for calling the BaseARIMA obj's underlying member method code with example usage: obj.predict_in_sample(X, start, end, dynamic) without return types